Descripción del proyecto
Datos masivos y análisis para reducir el consumo de energía en los edificios
Los planes nacionales de acción para la eficacia energética de los Estados miembros (que siguen la Directiva relativa a la eficacia energética) se enfrentan a varias dificultades de adopción. Por ejemplo, las acciones para reducir el consumo de energía en los edificios se encuentran con la complejidad de los sistemas energéticos internos de los edificios, además de ser caras y afectar a la comodidad de los residentes. El proyecto BIGG, financiado con fondos europeos, facilitará la adopción de los planes de acción de los Estados miembros aplicando tecnologías de datos masivos y técnicas de análisis de datos al ciclo de vida de más de cuatro mil edificios de España y Grecia. Las soluciones incluyen el BIGG Data Reference Architecture 4 Buildings de código libre; el BIGG Standard Data Model 4 Buildings para alcanzar una interoperabilidad de datos sobre edificios total; y el BIGG Data Analytics Toolbox para respaldar una amplia gama de servicios y modelos de negocio nuevos, así como una elaboración de políticas efectiva y fiable.
Objetivo
EU countries have drawn up strategies reflected in their National Energy Efficiency Action Plans that include provision of an overview of the country's national building stock, identification of key policies that the country intends to use to stimulate renovations and provision of an estimate of the expected energy savings that will result from renovations. Despite the increase in the use of energy and the evident environmental benefits of having more share of renewable energy sources (RES) in buildings, the adoption of both energy efficiency measures and RES is highly influenced by its cost and the impact on occupants’ comfort. The real implementation of actions to reduce energy consumption in buildings is confronted with the complexity of managing their internal energy systems, the overall target of cost savings and the respect of the levels of comfort expected by the buildings occupants.
The BIGG project aims at demonstrating the application of big data technologies and data analytic techniques for the complete buildings life-cycle of more than 4000 buildings in 6 large-scale pilot test-beds, achieved by: 1) The Open Source BIGG Data Reference Architecture 4 Buildings for collection/funneling, processing and exchanging data from different sources (smart-meters, sensors, BMS, existing data sets); 2) An interoperable buildings data specification, BIGG Standard Data Model 4 Buildings, based on the combination of elements from existing frameworks and EC directives, such as SAREF, INSPIRE, BIM, EPCHub that will be enhanced to reach full interoperability of building data; 3) An extensible, open, cloud-based BIGG Data Analytics Toolbox of service modules for batch and real-time analytics that supports a wide range of services, new business models and support reliable and effective policy-making. These solutions will be deployed and tested cross pilot and country validation of at least two business scenarios in Spain and Greece.
Ámbito científico
- engineering and technologyenvironmental engineeringenergy and fuelsrenewable energy
- natural sciencescomputer and information sciencesdata sciencebig data
- social scienceseconomics and businessbusiness and managementbusiness models
- engineering and technologyelectrical engineering, electronic engineering, information engineeringelectronic engineeringsensors
Programa(s)
Convocatoria de propuestas
Consulte otros proyectos de esta convocatoriaConvocatoria de subcontratación
H2020-LC-SC3-EE-2020-1
Régimen de financiación
IA - Innovation actionCoordinador
1654 Huizingen
Bélgica